# -*- coding: utf-8 -*-
from datetime import timedelta
#from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from jms_hi.dm.dm_sham_send_monitor_detail_dt_res_update import jms_hi_dm__dm_sham_send_monitor_detail_dt_res_update
from airflow.exceptions import AirflowSkipException
import pendulum

cst = pendulum.timezone('Asia/Shanghai')

class HiSparksqlOperator(SparkSqlOperator):
    def pre_execute(self, context):
        day = cst.convert(context['ti'].execution_date) + timedelta(days=1)

        days_of_hours = ['09','11','13','15','17']

        if day.strftime('%H') not in days_of_hours:
            print(f'{day.strftime("%H")} not in {days_of_hours}, should skip')
            raise AirflowSkipException()
        else:
            print(f'{day.strftime("%H")} in {days_of_hours}, run now')
            super().pre_execute(context)

jms_hi_dm__dm_sham_send_monitor_sum_dt_update = HiSparksqlOperator(
    task_id='jms_hi_dm__dm_sham_send_monitor_sum_dt_update',
    task_concurrency=1,
    pool_slots=1,
    master='yarn',
    retries=2,
    execution_timeout=timedelta(hours=1),
    email=['suning@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='jms_hi_dm__dm_sham_send_monitor_sum_dt_update_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms_hi/dm/dm_sham_send_monitor_sum_dt_update/execute.hql',
    driver_memory='3G' , 
    driver_cores=2 , 
    executor_cores=2 , 
    executor_memory='2G' , 
    num_executors=2 , 
    conf={
        'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
        'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors'             : 4 ,
        'spark.dynamicAllocation.cachedExecutorIdleTimeout': 120,  # 动态资源自动释放闲置 Executor 的超时时间(s)
        'spark.executor.memoryOverhead'             : '2G' , 
        'spark.hadoop.hive.exec.dynamic.partition.mode': 'nonstrict', # 动态分区
        'spark.hadoop.hive.exec.dynamic.partition': 'true',
        'spark.yarn.maxAppAttempts':1,
        'spark.sql.shuffle.partitions': 30
    },
    hiveconf={'hive.exec.dynamic.partition': 'true',
              'hive.exec.dynamic.partition.mode': 'nonstrict',
              'hive.exec.max.dynamic.partitions.pernode': 200,
             'hive.exec.max.dynamic.partitions': 200
             },
    yarn_queue='pro',
)

jms_hi_dm__dm_sham_send_monitor_sum_dt_update  << [
    jms_hi_dm__dm_sham_send_monitor_detail_dt_res_update
]
 